Process Development and Optimization Engineer

Oracle•Anthony, NM

About The Position

OCI is seeking a Process Development & Optimization Engineer to help scale GigaScale data center delivery with speed, consistency, and predictable outcomes. This role is accountable for building and continuously improving the operating system that turns delivery goals into repeatable execution; translating lessons learned into standard work, tightening handoffs between teams, and reducing the variability that drives schedule slips, rework, and cost overruns. As OCI expands capacity across multiple campus facilities, success depends on more than strong project execution of individual teams: it requires a high-throughput, standardized delivery model that performs reliably regardless of location, partner mix, or timeline pressure. This engineer will partner across engineering, procurement, construction, commissioning, and operations to identify bottlenecks and failure points in the end-to-end lifecycle (planning → build → test → commissioning/turnover), implement practical process improvements, and ensure those improvements stick through clear governance, adoption mechanisms, and performance measurement. The ideal candidate blends field-first pragmatism with analytical rigor: someone who can be on-site observing workflow constraints one day and the next day align stakeholders on a revised stage gate, acceptance criteria, or readiness checklist supported by data. In this role, you will drive measurable improvements in cycle time, first-pass quality, milestone predictability, and commissioning/turnover readiness, enabling OCI to deliver GigaScale capacity faster and with greater confidence; while improving the experience and effectiveness of delivery teams and partners through clearer processes and reduced “firefighting.”

Requirements

Blend of field-first pragmatism and analytical rigor.
Ability to be on-site observing workflow constraints.
Ability to align stakeholders on revised stage gates, acceptance criteria, or readiness checklists supported by data.

Responsibilities

Building and continuously improving the operating system for data center delivery.
Translating lessons learned into standard work.
Tightening handoffs between teams.
Reducing variability that drives schedule slips, rework, and cost overruns.
Identifying bottlenecks and failure points in the end-to-end lifecycle (planning → build → test → commissioning/turnover).
Implementing practical process improvements.
Ensuring improvements stick through clear governance, adoption mechanisms, and performance measurement.
Driving measurable improvements in cycle time, first-pass quality, milestone predictability, and commissioning/turnover readiness.